Cardioid graph based ECG biometric in varying physiological conditions using compressed QRS

• Published in: Journal of physics. Conference series Vol. 1502; no. 1; pp. 12050 - 12056
• Main Authors: Nurfarah Ain Mohd Azam, Siti, Zohra, Fateema-tuz, Azami Sidek, Khairul, Smoleń, Magdalena
• Format: Journal Article
• Language: English
• Published: Bristol IOP Publishing 01.03.2020
• Subjects: Algorithms; Amplitudes; Biometric identification; Biometrics; Data storage; Discrete Wavelet Transform; Electrocardiography; Identification systems; Multilayer perceptrons; Physics; Physiology; Wavelet transforms

This paper proposes a robust biometric identification system using compressed electrocardiogram (ECG) signal by varying physiological conditions. The ECG data were obtained by recording a total of 30 healthy subjects where they performed six regular daily activities repeatedly at a sampling frequenc...